期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：8
页码：7834-7836
出版社：IJECS
摘要：Ranking is an important problem in various applications. Many natural language processing tasksinvolve ranking a set of items. Sometimes we want the top items to be not only good individually but alsodiverse collectively. These ranking approaches are used to avoid redundant information as possible.Manifold Ranking with Sink Points (MRSP), is used to address the diversity and importance in ranking. Weapplied MRSP on two application tasks, update summarization and query recommendation. This rankingapproach gives a strong performance of MRSP as compared to already existing ranking approaches.
关键词：Diversity in Ranking; Manifold Ranking with Sink Points; Update Summarization; Query;Recommendation
